Cubic Equation Solver using Gradient Descent

This repository contains a simple Python program that demonstrates how gradient descent can be applied to approximate the solution of a cubic polynomial.

The general form of the equation is:

[ f(x) = ax^3 + bx^2 + dx + c ]

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📌 Features

• Takes user input for coefficients a, b, c, d.
• Generates a random initial value for x.
• Iteratively updates x using a gradient-based approach.
• Prints the approximate solution after running for a fixed number of epochs.

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📂 Requirements

• Python 3.x
• NumPy

Install dependencies using:

pip install numpy